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MULTI-OBJECTIVE GROUP DECISION MAKING
Methods, Software and Applications with Fuzzy Set Techniques

by Jie Lu (University of Technology, Sydney, Australia), Guangquan Zhang (University of Technology, Sydney, Australia), Da Ruan (Belgian Nuclear Research Centre (SCK•CEN), Belgium & Ghent University, Belgium), & Fengjie Wu (University of Technology, Sydney, Australia)

Table of Contents (56k)
Preface (53k)
Chapter 1: Decision Making (120k)

This book proposes a set of models to describe fuzzy multi-objective decision making (MODM), fuzzy multi-criteria decision making (MCDM), fuzzy group decision making (GDM) and fuzzy multi-objective group decision-making problems, respectively. It also gives a set of related methods (including algorithms) to solve these problems. One distinguishing feature of this book is that it provides two decision support systems software for readers to apply these proposed methods. A set of real-world applications and some new directions in this area are then described to further instruct readers how to use these methods and software in their practice.

 
Contents:
  • Decision Making, Decision Support Systems, and Fuzzy Sets:
    • Decision Making
    • Multi-Objective and Multi-Attribute Decision Making
    • Group Decision Making
    • Decision Support Systems
    • Fuzzy Sets and Systems
  • Fuzzy Multi-Objective Decision Making:
    • Fuzzy MODM Models
    • Fuzzy MODM Methods
    • Fuzzy Multi-Objective DSS
  • Fuzzy Group Decision Making:
    • Fuzzy MCDM
    • Fuzzy Group Decision Making
    • A Web-Based Fuzzy Group DSS
  • Fuzzy Multi-Objective Group Decision Making:
    • Multi-Objective Group DSS
    • Fuzzy Multi-Objective Group DSS
  • Applications:
    • Environmental Economic Load Dispatch
    • Team Situation Awareness
    • Reverse Logistics Management
 
Readership: Final year undergraduates, graduate and postgraduate students in business management, computer science, fuzzy logic, artificial intelligence and related areas.
 
 
408pp    Pub. date: May 2007  
ISBN:   978-1-86094-793-3
1-86094-793-X
   US$160 / £106

 


408pp    Pub. date: May 2007  
ISBN:   978-1-86094-859-6(ebook)
1-86094-859-6(ebook)
   US$208 / £137

 


 
 

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